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| Clustered Dataset Interface |
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posted by Editor on Monday December 03, @01:16PM
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Cerulean is a search-based interface that can be used to visualize and manipulate large numbers of clustered datasets. It was designed for use with KnownSpace, an experimental information management system that is based on the process of collecting large amounts data from a variety of sources (i.e. web pages, email, news, ftp sites, and desktop data) that is broken down into clusters, which are then analyzed at a variety of levels. The KnownSpace system is composed of four main components: the network component which brings documents into the system, the engine which clusters the information, the "usermodel" which analyses user interaction with the system, and the Cerulean Interface, which is optimized to work on clusters of data produced by KnownSpace. The majority of user interaction in Cerulean takes place on the stage, a large circle at the center of the interface where clusters are selected, deselected, edited and combined, searches are viewed and refined, and entities (i.e. data items) are opened, removed, deleted and viewed. Cluster tabs around the edge of the stage can be used to engage and disengage clusters. An open source Java implementation of the code can be downloaded, and there are some screenshots of the Cerulean Interface here and here. Work has also begun on a 3D version of the Cerulean approach.
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